Senior Applied Scientist: Agentic Observability & Infra

Amazon; Asti; In loco; EUR 138.000 - 187.000; Tempo pieno

Vantaggi offerti da questo lavoro

RSUs

Sign-on payments

Health insurance

401(k) matching

Paid time off

Descrizione del lavoro

Amazon in Nashville, TN is seeking a Sr. Applied Scientist for Infrastructure Reliability to lead the science behind intelligent observability solutions. You will architect end-to-end research roadmaps and deliver production-grade systems that detect anomalies and automate remediation at scale.

The role blends research leadership with hands-on engineering across data, ML, and systems, partnering with product and network engineers to drive impactful outcomes for Amazon's critical infrastructure.

Competenze

• 3+ years building ML models for business applications.
• PhD or Master's with 6+ years of applied research experience.
• Experience with neural deep learning methods and machine learning.

Mansioni

• Define and own the science vision for agentic observability in partnership with product and engineering leaders.
• Build ML and agentic AI systems that autonomously detect, classify, and correlate infrastructure anomalies at scale.
• Design and develop models for event correlation, root cause analysis, and predictive failure detection using time-series analysis, graph-based methods, and deep learning.
• Own the agentic architecture for automated observability workflows, including planning, tool integration, long-horizon reasoning, and multi-agent orchestration.
• Define and curate the datasets and evaluation methodologies needed to train, benchmark, and continuously improve detection and classification systems.
• Stay deeply hands-on: write production-quality, critical-path code and build core components that take systems from prototype to launch.

Conoscenze

Machine learning for business apps

Deep learning

Java

C++

Python

Formazione

PhD or Master with 6+ years applied research

Strumenti

Java

C++

Python

Descrizione del lavoro

Amazon in Nashville, TN is seeking a Sr. Applied Scientist for Infrastructure Reliability to lead the science behind intelligent observability solutions. You will architect end-to-end research roadmaps and deliver production-grade systems that detect anomalies and automate remediation at scale.

The role blends research leadership with hands-on engineering across data, ML, and systems, partnering with product and network engineers to drive impactful outcomes for Amazon's critical infrastructure.